Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 841–850 of 3012 papers

Title	Date	Tasks	Status
Deep context: end-to-end contextual speech recognition	Aug 7, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion	May 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition	Jul 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition	Aug 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Learning based Multi-Source Localization with Source Splitting and its Effectiveness in Multi-Talker Speech Recognition	Feb 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes	Apr 13, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Learning for Dialogue Systems	Aug 1, 2018	Automatic Speech Recognition (ASR)Deep Learning	—Unverified
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments	May 30, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Multimodal Learning for Audio-Visual Speech Recognition	Jan 22, 2015	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition	Oct 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified